Question

晚安。我正在使用此代码查找并裁剪图像上的字母。但是，我收到了这个错误;

OpenCV错误：断言失败（0＆lt; = roi.x＆amp;＆amp; 0＆lt; = roi.width＆amp;＆amp; roi.x + roi.width＆lt; = m.cols＆amp;＆amp; 0＆lt; cv :: Mat :: Mat

中的; = roi.y＆amp;＆amp; 0＆lt; = roi.height＆amp;＆amp; roi.y + roi.height＆lt; = m.rows）

我不知道如何解决这个问题。我已经搜索过这个，但我找不到解决方案。任何人都可以帮助我吗？

Mat image = Imgcodecs.imread("C:\\Users\\Me\\Desktop\\Programs\\Image2.png", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
// clone the image 
Mat original = image.clone();
// thresholding the image to make a binary image
Imgproc.threshold(image, image, 220, 60, Imgproc.THRESH_BINARY_INV);
// find the center of the image
double[] centers = {(double)image.width()/2, (double)image.height()/2};
Point image_center = new Point(centers);

// finding the contours
ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
Imgproc.findContours(image, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

// finding best bounding rectangle for a contour whose distance is closer to the image center that other ones
double d_min = Double.MAX_VALUE;
Rect rect_min = new Rect();
for (MatOfPoint contour : contours) {
    Rect rec = Imgproc.boundingRect(contour);
    // find the best candidates
    if (rec.height > image.height()/2 & rec.width > image.width()/2)            
        continue;
    Point pt1 = new Point((double)rec.x, (double)rec.y);
    Point center = new Point(rec.x+(double)(rec.width)/2, rec.y + (double)(rec.height)/2);
    double d = Math.sqrt(Math.pow((double)(pt1.x-image_center.x),2) + Math.pow((double)(pt1.y -image_center.y), 2));            
    if (d < d_min)
    {
        d_min = d;
        rect_min = rec;
    }                   
}
// slicing the image for result region
int pad = 5;        
rect_min.x = rect_min.x - pad;
rect_min.y = rect_min.y - pad;

rect_min.width = rect_min.width + 2*pad;
rect_min.height = rect_min.height + 2*pad;

Mat result = original.submat(rect_min);     
Imgcodecs.imwrite("C:\\Users\\Me\\Desktop\\Programs\\result.png", result);

我的编程程序在这一行中指出：

Mat result = original.submat(rect_min);

Answer 1

rect_min很可能具有负面的尺寸，即rect_min.x = rect_min.x - pad;或大于原始图像的尺寸，即rect_min.width = rect_min.width + 2*pad;使rect_min.width > original.width成为rect_min。

可能的解决方法是使用未修改的copyMakeBorder裁剪原始图像，然后，如果要填充，请使用iterateThroughElements。

Answer 2

这意味着rect_min的边界超出了原始图像的边界。

也许衬垫是这样的？您应该打印出原始图像的大小，以及rect_min的大小来查找。

我该如何解决这个错误？ findcontours（OpenCV的）

2 个答案: